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Slava's Projects

acme.sh icon acme.sh

A pure Unix shell script implementing ACME client protocol

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

audio-reactive-led-strip icon audio-reactive-led-strip

:musical_note: :rainbow: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi

avatarify icon avatarify

Avatars for Zoom, Skype and other video-conferencing apps.

awesome-cpp icon awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-go icon awesome-go

A curated list of awesome Go frameworks, libraries and software

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

blog icon blog

Build a Jekyll blog in minutes, without touching the command line.

cgal icon cgal

The public CGAL repository, see the README below

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

clac icon clac

A command line, stack-based calculator with postfix notation

colorls icon colorls

A Ruby gem that beautifies the terminal's ls command, with color and font-awesome icons. :tada:

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

container.training icon container.training

Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.

cookbook-2nd-code icon cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

cymem icon cymem

💥 Cython memory pool for RAII-style memory management

dash icon dash

Analytical Web Apps for Python. No JavaScript Required.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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